Target audience: Fast-moving codebases built by developers using AI assistance, rapid prototyping tools, and modern frameworks. These projects prioritize speed and iteration, often skipping security fundamentals.

E.g. for the first audio track (a:0). This example also resets the title of the audio track.

ffmpeg -i Godzilla.vs..Megalon.1973.1080p.mp4 \
    -c copy \
    \
    -metadata:s:a:0 language=jpn \

A guide how to get and activate Windows 8, 8.1, 10 and 11 Pro for free!

If you see the Windows keyboard button in this guide; and you can't find it on your keyboard, you likely have/had Windows 10 which has the button . If you can't find that one, you likely have a PC that has been upgraded to Windows 8/8.1/10/11 from Windows 8.1/8/7/Vista/XP and other ones. If you have one of those, refer the Windows key button to as yours. A list of them is below:

- Windows 11

- Windows 10

0. Create a folder at the root of your user home folder (Example: C:/Users/uname/) called .ssh.
1. Create the following files if they do not already exist (paths begin from the root of your user home folder):

• .ssh/config

This guide will walk you through the process of making udemy course progress as 100%

Before you begin, make sure you have the following:

• An Udemy course open in your web browser.
• The course's sidebar should be visible.

• Introduction
• Preliminary Steps
• Main installation
  • Disk partitioning
  • Disk formatting
• Disk mounting

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Translations: 🇯🇵 日本語 · 🇰🇷 한국어 · 🇨🇳 简体中文 · 🇹🇼 繁體中文 · 🇹🇭 ไทย · 🇻🇳 Tiếng Việt · 🇮🇩 Bahasa Indonesia · 🇫🇷 Français · 🇩🇪 Deutsch · 🇪🇸 Español · 🇧🇷 Português (Brasil) · 🇷🇺 [Русски